Lead Engineer 2c Process Development Core Engineering Module Jobs

SINGAPORE REQUIREMENT GET PERMIT IN 30 WORKING DAYS NO HIDDEN CHARGES NOT MORE COSTLY W.P (WORK PERMIT) COST - ( 1.7 LAKH WITH DOCUMENTS 35 THOUSAND REQUIRED) S PASS COST - ( 2.5 LAKH WITH DOCUMENTS 40 THOUSAND REQUIRED ) E PERMIT COST - (3.2 LAKH WITH DOCUMENTS 50 THOUSAND REQUIRED ) IF ANY ONE INTERESTED THEN CONTACT ME AS SOON AS POSSIBLE. WORK PERMIT,S PASS, E PERMIT COMPANY DRIVER ( LIGHT ) INDIAN LICENCE HOLDER CAN APPLY - W.P BIKE RIDER FOR FOOD DELIVERY - W.P ADMIN CUM RECEPTIONIST - W.P & S PASS BOTH LABORATORY TECHNICIAN - S PASS ADMIN ASSISTANT - W.P SITE SUPERVISOR - S PASS OPERATIONS EXECUTIVE - S PASS LOGISTIC COORDINATOR - W.P F&B TEAM LEADER - S PASS CLERK - W.P PART TIME CASHIER - W.P ELECTRICAL ISTRUMENTATION ENGINEER - S PASS MECHANICAL SUPERVISOR - S PASS HR & ADMIN EXECUTIVE - S PASS DELIVER VEHICLE DRIVER - W.P HUMAN RESOURCE / ADMIN OFFICER - S PASS DATA ENTRY ASSISTANT - W.P BILLING & ADMIN ASSISTANT - W.P & S PASS BOTH ASSISTANT RESTAURANT MANAGER - E PERMIT ARCHITECTURAL SUPERVISOR - S PASS F&B WAITER (ROOM service) - W.P NIGHT SECURITY OFFICER - W.P HR &ACCOUNTS ADMIN EXECUTIVE - S PASS PAYROLL & HR SUPPORT EXECUTIVE - S PASS ELECTRICAL ENGINEER - W.P & S PASS BOTH FOOD & BEVERAGE (F&B) EXECUTIVE - S PASS PROJECT TEAM LEAD (JAVA) - E PERMIT IT PROJECT MANAGER (LAB AND IT ) - E PERMIT UI/UX DESIGNER - E PERMIT SOFTWARE DEVELOPMENT MANAGER - E PERMIT ALL S PASS AND E PASS OPENING AS PER COMPANY REQUIREMENT MINIMUM 2 YEARS EXP REQUIRED IT'S DIRECT SELECTION ONLY EXP CANDIDATE NEED NO INTERVIEW.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Job Overview: We are looking for a highly experienced Staff Engineer to join the FGA DevEx team and lead the evolution of our end to end developer experience across both OSS and SaaS. This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions. Our guiding principle is One developer experience, many deployment models. As a Staff Engineer, you will define technical direction, ensure cross language consistency, influence API design in partnership with FGA Core, and raise the quality bar across all developer facing tooling. Responsibilities: Define and drive the technical direction for FGA DevEx , CLI, IDE integrations, and developer automation across OSS and SaaS. Lead architectural decisions for multi language SDKs in Go, JavaScript, .NET, Python, and Java, leveraging and evolving the SDK generator that forms the core of all clients. Own and evolve the SDK generator framework, templates, and wrapper patterns to ensure cross language consistency, configurability, and long term maintainability. Establish standards across SDKs for authentication flows such as client credentials, error mapping and handling, retry logic with appropriate rate limiting strategies, and method level configuration overrides. Ensure advanced SDK

The job purpose of a Shift Engineer - ThermalTools is to oversee the efficient operation, maintenance, and optimization of thermal tools and equipment in manufacturing or industrial settings. They ensure production meets quality standards, adhere to safety regulations, lead teams, troubleshoot issues, and drive continuous improvement to enhance productivity and reliability. Source: Adani Group | Job ID: 51372

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: Overview of the product so far Training docs overview Story of the Training product Research we've done RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) Partner closely with developers and research engineers to translate complex training requirements into technical solutions Design and architect a global training scheduler Design and architect reinforcement learning systems and continuous learning pipelines Drive long-term improvements to improve reliability of systems and velocity of development Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure Make critical architectural decisions balancing performance with system reliability Lead technical discussions and mentor junior engineers on infrastructure best practices Contribute to long-term technical strateg

Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Staff Platform Engineer, you'll set technical direction for the platform across teams, lead our highest-complexity and highest-leverage initiatives, and shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll operate across team boundaries — partnering with product engineering, fellow Staff+ engineers, and engineering leadership to make Kubernetes and cloud infrastructure effortless across the entire engineering org. You'll build the self-service automation, shared standards, and scalable AWS and GCP infrastructure that let dozens of product teams ship faster, safer, and with less cognitive load — and you'll multiply the engineers around you while you do it. Key Responsibilities Set technical direction — shape platform and domain-level technical strategy that improves developer experience, reliability, security, and cost, and lead the high-complexity, cross-cutting initiatives that deliver it with measurable impact for the organization. Drive clarity through ambiguity. Take on the most loosely-defined problems, validate the critical assumptions early, and create alignment with stakeholders across teams so others can move quickly and confidently — driving cross-team decisions to a timely close and escalating when needed. Build the AI-augmented platform. Design org-wide tooling, guardrails, and policy-as-code that help every engineer get more out of AI-assisted development — infra primitives an LLM can safely reason about and PR against, automated review, and standards that hold as AI changes how code gets written. Own Infrastructure-as-Code standards for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — setti

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're seeking a Design Engineer to bridge the gap between design and engineering at Replit. In this role, you'll help shape our design system implementation, architect front-end solutions, and ensure seamless user experiences across our platform. You'll be instrumental in creating the technical foundation that allows us to enable anyone with an idea to create apps. You will: Architect and implement complex UI components and systems that balance aesthetics with technical performance Lead the technical implementation and evolution of our design system (Replit UI) Create prototypes to explore new interaction models and validate design concepts Collaborate closely with product designers to bring designs to life with pixel-perfect precision Establish best practices for front-end development and component architecture Mentor engineers on design principles and implementation techniques Develop tools and processes to improve design-to-development workflow Contribute to design reviews with a focus on technical feasibility and implementation Champion accessible, responsive, and performant user interfaces Required Skills & Experience 8+ years of experience in front-end development with a strong design sensibility Expert-level knowledge of HTML, CSS, and JavaScript/TypeScript Deep experience with modern front-end frameworks (React preferred) Strong understanding of design systems and component-based architecture Experience implementing complex UI animations and interactions Proven ability to translate design concepts into production-ready code Strong communication skills to effectively collaborate with both design and engineering teams Experience with accessibility standards and best practices Bonus Qualificati

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

The Development Infrastructure team builds the tooling and systems our Asana engineers use every day to bring their ideas to production quickly and reliably. We build and operate the software that drives Asana’s roadmap. Each day, we combine industry best practices and innovation to support this product-focused company. We’re looking for a Software Engineer with a passion for developer infrastructure. You will work with a world-class team of engineers on deploying and operating existing developer tooling, and building new tools to support our global, growing development team. You will have a unique opportunity to design and develop the systems and applications that drive the Asana development experience, lead complex technical projects, and work on cross-functional initiatives to help define the future of software engineering at Asana. This role is based in our Reykjavík office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Innovate the architecture of our development sandboxes to accelerate development iteration. Modernize our build system, tighten iteration loops, and polish frequent cycles in the developer experience. Lead complex developer infrastructure projects from technical design through implementation, rollout, and operation. Partner with engineering teams to identify opportunities to enable teams to develop faster at Asana and help the company achieve our goals faster. Analyze complex developer infrastructure systems to uncover issues, root causes, and areas for improvement. Keep Asana up to date on open-source trends and identify new opportunities for improved development infrastructure. Champion code quality and solid

MongoDB seeks an experienced Senior Software Engineer to help level up IT and play a key role in building a new engineering team. This team works alongside the Internal Engineering department to build enterprise-grade software that enables coworkers to be more effective and efficient. As a Senior Software Engineer, you’ll take ownership of critical internal tools and platforms, drive technical decisions, and contribute at a high level to systems that support essential workflows across the organization. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations: Own the implementation and long-term maintenance of internal tools and platforms Lead technical design discussions and contribute to architectural decisions Write high-quality, maintainable code while setting a strong engineering example for the team Identify and proactively address technical debt, reliability risks, and scalability concerns Collaborate with engineers, product partners, and other stakeholders to prioritize and deliver high-impact work Success Measures: In three months, demonstrate strong ownership of one or more internal systems and contribute significantly to ongoing initiatives In three months, independently deliver meaningful improvements that reduce manual effort or operational friction In six months, have driven technical improvements or new tooling that measurably improves internal engineering efficiency, reliability, or velocity Our ideal candidate: Has 6+ years of professional software engineering experience Deep experience with at least one modern programming language (Python, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or simil

We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command by Asana to product development and engineering teams. This is a unique opportunity to be at the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive and cross-functional teammates to build repeatable technical plays that will scale across Asana's field organization. You will be an extended part of the product General Manager's team, helping bring customer feedback to the product team and shape how the product, demos, and technical positioning evolve. You'll work with Engineering leaders, product development teams, and cross-functional stakeholders who are looking to modernize how they coordinate work, deflect repetitive requests, and deliver better employee experiences. This role requires strong technical curiosity and customer empathy—you'll lead discovery, technical validation, and solution design while partnering seamlessly with Asana's existing Account Executives, Customer Success Managers, and core Solutions Engineers to support both net-new and expansion opportunities. This role is ideal for someone who understands the Engineering buyer, thrives in ambiguity, loves building from the ground up, and is energized by the chance to help define a new market motion at Asana. This role can either be fully remote depending on where you live in the UK, or based in our London office with an office-centric hybrid schedule. If based in-office: The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Partner with the incubation Account Executive to lead technical validation for Engineering and product development opportunities within mid

We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command by Asana to product development and engineering teams. This is a unique opportunity to be at the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive and cross-functional teammates to build repeatable technical plays that will scale across Asana's field organization. You will be an extended part of the product General Manager's team, helping bring customer feedback to the product team and shape how the product, demos, and technical positioning evolve. You'll work with Engineering leaders, product development teams, and cross-functional stakeholders who are looking to modernize how they coordinate work, deflect repetitive requests, and deliver better employee experiences. This role requires strong technical curiosity and customer empathy—you'll lead discovery, technical validation, and solution design while partnering seamlessly with Asana's existing Account Executives, Customer Success Managers, and core Solutions Engineers to support both net-new and expansion opportunities. This role is ideal for someone who understands the Engineering buyer, thrives in ambiguity, loves building from the ground up, and is energized by the chance to help define a new market motion at Asana. This role can either be fully remote depending on where you live in Ireland, or based in our Dublin office with an office-centric hybrid schedule. If based in-office: The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Partner with the incubation Account Executive to lead technical validation for Engineering and product development opportunities within mi

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documen

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documen